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Stephenson et al find "alarmingly high rates" of intimate partner violence among male couples

Social Science One making available data that "may rival the total amount that currently exists in the social sciences"

Stafford's findings on gender gap in children's allowances suggest entrenched nature of wage gap

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Student volunteers needed for IAPHS Annual Meeting in Washington, DC, Oct 3-5. Register July 23.

West et al. examine HS seniors' nonmedical use of prescription stimulants to boost study

Seefeldt promoted to associate professor of social work, associate professor of public policy

Martha Bailey elected to the Board of Officers of the Society of Labor Economists

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Next Brown Bag

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Data Science with Social Science data: Building predictive models using Python's Scikit-learn

a Workshop

Friday, 10/27/2017, 2:00 pm to 4:00 pm.   ARCHIVED EVENT

Location: Modern Language Bldg, Room 2001A

This CSCAR workshop covers the essential steps to building a predictive model in Python. We will start with an introductory explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the instructor will be using these tools). We will proceed with topics including: creation and manipulation of Pandas DataFrames and Matplotlib objects and; creation and interpretation of predictive models using Python’s Scikit-learn. Although not required, we recommend that participants have a basic knowledge of Python and Pandas DataFrames.

Instructor: Márcio Mourão

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